News | October 28, 2010

New Criteria for Using CT to Examine Heart Problems

October 28, 2010 – A report by the American College of Cardiology (ACC) provides new criteria for selecting patients who could benefit from cardiac computed tomography (CCT).

The report, which was developed in partnership with the Society of Cardiovascular Computed Tomography (SCCT) also informs payers about appropriate clinical scenarios for its use.

CCT, which uses X-rays to diagnose artery blockages, requires appropriate patient selection to avoid unnecessary healthcare costs, lack of benefit and even harm.

“As the field of cardiac CT continues to advance along with other biomedical imaging tests, the healthcare community needs to understand how to best incorporate this technology into daily clinical care,” said Allen J. Taylor, M.D., chair of the writing committee and professor of medicine, Georgetown University, Washington, D.C. “This update adds to our understanding of selecting the best candidates for cardiac CT imaging so that doctors can help perform the right test in the right patient at the right time.”

The original appropriate use criteria for CCT were issued in 2006. Since then, technological advances have made it safer and easier to use, according to Taylor.

“This document reflects this progress in knowledge and our desire to make the criteria more comprehensive to more closely match a patient situation to the test and help in clinical decision making,” he added, emphasizing that selecting the proper patients for testing is an essential first step in the provision of quality cardiac care.

For the update, a panel assessed the appropriateness of CCT imaging for 93 different clinical scenarios, scoring each to determine if it was appropriate, inappropriate or uncertain for a given situation.

“If we know a patient has existing heart problems or is at high risk for heart disease, doing the test isn’t generally going to add any valuable clinical information,” Taylor said. “Ordering a test when a patient doesn’t need it—or won’t benefit—is not quality cardiac care.”

For more information: www.cardiosource.org

Related Content

Siemens Healthineers Demonstrates Artificial Intelligence, Healthcare Digitalization at HIMSS19
News | Artificial Intelligence | February 13, 2019
February 13, 2019 — At the 2019 Healthcare Information and Management Systems Society (HIMSS) global conference and e
Canon Adds Radiation Therapy Package to Aquilion Prime, Lightning CT Systems
News | Computed Tomography (CT) | February 11, 2019
In the patient-centric world of radiation oncology, it is critical that computed tomography (CT) simulation is...
Korean National Training Center Installs Carestream OnSight 3D Extremity System
News | Computed Tomography (CT) | February 07, 2019
Jincheon National Training Center in Jincheon, South Korea, installed a Carestream OnSight 3D Extremity System at its...
Canon Medical Debuts Alphenix 4-D CT at RSNA 2018
Technology | Angiography | February 06, 2019
Canon Medical Systems USA Inc. recently introduced a new angiography configuration featuring its Alphenix Sky + C-arm...
MaxQ AI's Accipio Software Integrated to GE's Smart Subscription Platform
News | Computed Tomography (CT) | January 29, 2019
MaxQ AI and GE Healthcare announced that MaxQ's Accipio artificial intelligence (AI) platform will now be a part of GE...
Siemens Healthineers Debuts AI-Rad Companion Chest CT
News | Artificial Intelligence | January 25, 2019
Siemens Healthineers presented its first intelligent software assistant for radiology, the AI-Rad Companion Chest CT,...
3-D Reconstruction of Ichthyosaurus Skull

A 3-D reconstruction of the ichthyosaurus skull from a computed tomography (CT) scan. Image courtesy of Nigel Larkin, taken at Royal Veterinary College, London.

News | Computed Tomography (CT) | January 09, 2019
A nearly meter-long skull of a giant fossil marine ichthyosaur found in a farmer's field more than 60 years ago has...
SCCT Releases New Guideline for CT Use During TAVR
News | Computed Tomography (CT) | January 08, 2019
The Society of Cardiovascular Computed Tomography (SCCT) has released a new expert consensus document for computed...
Artificial Intelligence Pinpoints Nine Different Abnormalities in Head Scans

A brain scan (left) showing an intraparenchymal hemorrhage in left frontal region and a scan (right) of a subarachnoid hemorrhage in the left parietal region. Both conditions were accurately detected by the Qure.ai tool. Image courtesy of Nature Medicine.

News | Artificial Intelligence | January 07, 2019
The rise in the use of computed tomography (CT) scans in U.S. emergency rooms has been a well-documented trend1 in...